Actyx for Glass Manufacturing
Whether you manufacture glass for pharma, consumer goods or drinkware, Actyx can help.
Reliably producing high quality glass products comes with complex production processes. Hundreds of parameters such as batch composition, furnace temperature, plunger, scissor or gob ring wearing or outside temperature influence the production process outcome. Changeovers often lack clear SOPs and rely on operator skill-level and experience. Adding to this complexity come ever increasing quality standards, more complex products and smaller lot-sizes.
Capture and centralize data end-to-end from your batch house, furnace control system, IS-machine, QA-machines and line counters to visualize the data in real-time in the Factory Supervision Dashboard. See the status of your IS-machines and the production line to identify problems and delays. Stay on top of your daily processes with the Daily Status Report that accurately summarizes the daily production output and job changes. Use the Process Data Visualization application to deep dive into your data for comparing parameters such as feeder temperature or machine cut speed with output to identify best-in-class settings. Improve flexibility and react quickly to problems through automatic SMS/Email notifications in case of machine interruptions or process anomalies using the Automatic Notification Service.
For the worker
Work efficiently supported through quick access to most relevant information such as setup parameters.
For the manager
Reduce downtime and improve quality through implementation of data-driven improvement measures.
For the CEO/CFO
Drive down cost through higher efficiency. Increase sales through higher productivity and flexibility.
Hot-End Line Dashboard
Visualize your most important line data on IS-machine section status & downtimes, current order progress, feeder temperature or pack over time. Help your operators keep track of relevant data right on the shop-floor.
Cold-End Line Dashboard
Visualize your cold-end line data including status of quality assurance machines, throughput per QA-machine as well as scrap per section. Help your supervisors to identify bottlenecks quickly and mitigate them swiftly.
Factory Supervision Dashboard
Get 360º transparency on all production lines in real-time. Relevant information per line such as current order, target yield, IS-machine status, pack or OEE are displayed helping you to stay on top of your factory processes.
Automatic Notification Service
Real-time SMS/Email notifications triggered by events or incidents such as exceeded thresholds on a set of parameters. Triggers and notifications are configured on production line, article, responsible stakeholders and more.
Daily Status Report
Summarize on a daily basis important information on line output such as output per line with comparison against production target, pack, number of job changes and information on OEE per line.
Compare performance across production line through transparency on OEE per line over time. Display information on uptime, production speed and quality benchmarked with average and best day performance data.
Process Data Visualization
Visualize process parameters such as temperature, pack or plunger heights over time. Compare these with output and quality data to identify ideal process parameters and to set anomaly thresholds.
Job Change Report
Benchmark performance across your daily job-changes against best/average setups. Compare pack (12 hours), time for mechanical setup, cold/hot run and more for job-changes to continuously improve your setup processes.
Weekly Output Report
Summarize on a weekly/monthly basis line output, including information on output per line with comparison against production target, pack, number of job changes and information on OEE per line.
Batch House Data Collection
Collect and aggregate data from batch house control systems or directly from PLCs to enable real-time as well as historic use. Track when which recipe has been set and what target/actual composition of components was.
Furnace Data Collection
Enable real-time as well as historic access to furnace control systems data such as temperature per melting tank zone, feeder temperatures per zone and line, gas supply, power supply or air supply.
Counter Data Aggregation
Collect and aggregate specific data from line counters to enable real-time as well as historic access. Track counter data per line section over time and correlate counter data with active production orders.
QA-Machine Data Collection
Collect and aggregate specific data from QA-machines to enable real-time as well as historic access. Track throughput, scrap rate and scrap reason per QA-machine.
IS-Machine Data Collection
Collect and aggregate specific data from IS-machines to enable real-time as well as historic access. Track machine counters per section, machine program, mechanism timing and other settings. Compute the status of each section from counter data.
Integrate to Emhart IS-machines to extract machine specific data such as machine section counters and machine settings.
Integration to your SQL database using Open Database Connectivity (ODBC) to extract data such as counter or quality data.
Integration Bottero IS
Integrate to Bottero IS-machines to extract machine specific data such as machine section counters and machine settings.
Integrate to Sklostroj IS-machines to extract machine specific data such as machine section counters and machine settings.
Integration MS Azure SQL
Integrate to MS Azure SQL to export process data. Export to MS Power BI for specific reports, dashboards and further analysis.
Integration OPC UA/OPC DA
Integration with data sources such as furnace control systems using OPC UA/OPC DA to extract relevant data.
GUIDE: DATA IN GLASS MANUFACTURING
How to leverage data to improve efficiency, today
A glass production is a complex system of workers, machines and material, orchestrated to generate high-quality products with the least amount of cost possible. From the batch house to the furnace, IS-machines or quality assurance systems, data is generated across the entire value stream.
Learn how you can ensure that data enables value from collecting and centralizing data across the entire value stream, generating insights through specific data reports and implementing improvement measures.